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Credit: 1
course unit
Elective course
Catalog Description:
This is a practically-oriented course in the analysis of
biomedical signals focusing on medically significant applications.
The
specific applications will vary from year to year, but will lectures
include the nature of major signals of biomedical importance,
digital
signal processing including convolution, digital filtering, wavelet analysis. The course will include student
experiments
using Matlab and independent
projects.
Prerequisites:
BE 301 or graduate status. Not intended for students with previous
courses in digital signal processing.
Textbook(s) and/or Other Required Materials:
Required: Digital Signal Processing: A Practical Approach, 2nd Ed.
Ifeachor and Jervis, Addison-Wesley
Recommended: Matlab student edition
Course Objectives:
This course is an elective for upper-level bioengineering majors
and bioengineering graduate students other than those with backgrounds in
digital signal processing. The goal of the course is to introduce students
to the use of computer methods to acquire and process biomedical signals,
focusing on practical applications of medical significance. The course
extends the theoretical background in a previous required course (BE 301)
to enable students to develop practical applications of biomedical
significance, including design of digital processing systems to meet
specific medical requirements. The course includes extensive computer
assignments using Matlab and a semester
project.
Topics Covered:
·
Nature of
biomedical signals; overview of signal analysis.
·
Sampling
Theorem and A/D Conversion; aliasing artifacts in biomedical signals
·
Discrete
transforms
·
Windows
·
z -
Transform
·
Correlation
and Convolution
·
Design of
IIR and FIR filters
·
Adaptive
filters
·
Wavelet
analysis
·
Specific
biomedical applications: ECG analysis (including QRS detector using
digital filters), fetal ECG monitor using adaptive filter, heart rate
variability monitor, impedance cardiography
Class/Laboratory Schedule:
Lecture: 3 hrs/week
Contribution
towards Professional Component:
100% Engineering science
Contribution
towards Program Outcomes:
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Multidisciplinary
Ability
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Med.
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Problem Solving
Approach
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High
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Problem Solving
Methods
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Low
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Experimentation
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Low
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Design
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Low
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Professional
Orientation
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Low
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Person(s) Preparing
Description and Date:
K. R. Foster
July 2007
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